Triple
T28403777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prestige oil spill |
E719461
|
entity |
| Predicate | estimatedSpilledOil |
P78368
|
FINISHED |
| Object | approximately 63,000 tonnes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 63,000 tonnes | Statement: [Prestige oil spill, estimatedSpilledOil, approximately 63,000 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedSpilledOil Context triple: [Prestige oil spill, estimatedSpilledOil, approximately 63,000 tonnes]
-
A.
volumeSpilled
chosen
Indicates the quantity of a substance that has been unintentionally released or spilled from its container or source.
-
B.
oilContent
Indicates the amount or proportion of oil present in a given substance, material, or item.
-
C.
oilUsage
Indicates the amount or pattern of oil consumed or utilized by an entity over a given context or period.
-
D.
oilReleaseDuration
Indicates the length of time over which oil is or was released in a given event or process.
-
E.
shorelineHeavilyOiledLength
Indicates the length of shoreline that has been significantly contaminated with oil.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 28, 2026, 1:22 a.m.